This study aims to numerically determine the roles of the geochemical reactions during the injection of a strong acid into a sandstone sample. As a case study, we used laboratory results of hydrochloric acid (HCl) injection into a sandstone core plug sample from the literature. As the exact cement composition of the implemented sandstone was not available, two probable cement compositions were considered (i.e., calcite and dolomite cement). A fully-implicit model, coded in Python, was used to simulate the underlying geochemical reactions during the HCl injection (i.e., equilibrium and kinetical reactions). In addition, the reactive surface area and porosity-permeability changes of the rock sample were included in the model. The modelling results show that dolomite cement matched better than calcite cement with the experimental acidizing data. A perfect effluent pH prediction was therefore achieved when the reactive surface area was considered as a function of mineral volume fraction. Moreover, a detailed analysis of the dissolution/precipitation rate of different minerals involved in simulations was provided. The presented model improves our understanding of sandstone acidizing by determining dominant reactions.
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Younesian-Farid, H., & Sadeghnejad, S. (2022). The Effect of Carbonate Cement Type on Sandstone Matrix Acidizing. Journal of Chemical and Petroleum Engineering, 56(2), 245-255. doi: 10.22059/jchpe.2022.331409.1363
MLA
Hossein Younesian-Farid; Saeid Sadeghnejad. "The Effect of Carbonate Cement Type on Sandstone Matrix Acidizing", Journal of Chemical and Petroleum Engineering, 56, 2, 2022, 245-255. doi: 10.22059/jchpe.2022.331409.1363
HARVARD
Younesian-Farid, H., Sadeghnejad, S. (2022). 'The Effect of Carbonate Cement Type on Sandstone Matrix Acidizing', Journal of Chemical and Petroleum Engineering, 56(2), pp. 245-255. doi: 10.22059/jchpe.2022.331409.1363
VANCOUVER
Younesian-Farid, H., Sadeghnejad, S. The Effect of Carbonate Cement Type on Sandstone Matrix Acidizing. Journal of Chemical and Petroleum Engineering, 2022; 56(2): 245-255. doi: 10.22059/jchpe.2022.331409.1363
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